heat is continuously transferred to the engine at a rate of 100kJ/second. What is the maximum possible rate at which the engine could possibly produce work? A) 100kJ/s B) Nearly 100kJ/s C) Significantly less than 100kJ/s”.A less conceptually based version of the same question might read: “Compute the thermal efficiency of a Carnot engine working continuously with a heat source at 300ºC and a heat sink at 25ºC.” While it is crucial that students develop an accurate understanding of engineeringconcepts, it is also true that typical lecture-based classroom instruction has been shown to have alimited impact on conceptual understanding in technical areas. For example, in a large meta-study of physics students
theimportant biological information is contained in the small fluctuating voltages associated withsynaptic events rather than absolute potential distance from ground. To allow sufficientamplification to see these fluctuating potentials without magnifying the absolute potentials onwhich they ride, the logical choice is to use a low-frequency filter to eliminate the direct currentpotentials. With low frequency filters, one can select Low Frequency Filter (LFF) cutofffrequencies of 0.1, 0.3, 1, 3, or 10 Hz, corresponding to time constants of 1.6, 5.3, 0.16, 0.05, or0.016 second. Even with modern digital equipment, the same LFF values work well withstandard scalp EEG frequencies. The most common setting is 1 Hz (τ = 0.16 s), which nicelypreserves most low
MechanicsAbstractA recurring problem for teachers of engineering mechanics is that many students sign up to starttheir courses when they are not quite ready for them. This situation of unreadiness may be due tolack of adequate preparation. At first, it is easy to want to ascribe the problem to lack of coverageof pertinent material in the prerequisite course(s). However, the more likely cause is an amazingamnesia that leaves the students with very few of the important concepts learned in theprerequisite courses that are needed for the mechanics course that they are about to start. Thisphenomenon is observed even among some of the best students who get top grades in theprerequisite courses by demonstrating mastery of the material, but then “draw a blank” when
AC 2012-2977: SCIENCE FOR NON-SCIENCE MAJORSDr. Robert M. Brooks, Temple University Robert Brooks is an Associate Professor of civil engineering at Temple University. He is a fellow of ASCE. His research interests are engineering education, civil engineering materials, and transportation engineering.Jyothsna K. S., Jyothsna K. S., Department of English, St.Joseph’s College, Bangalore, eecured a gold medal for the high- est aggregate marks in the Post Graduate English Literature course at St.Joseph’s College (autonomous). K. S. has been working for the Department of English, St.Joseph’s College for almost two years now, teaching both undergraduate and postgraduate courses in English. K. S. has published papers in
Session 2793 Undergraduate Research Using the Finite Difference Time Domain Technique for Electromagnetics José G. Colom Ustáriz, Rafael Rodríguez Solís University of Puerto Rico at MayaguezI. INTRODUCTIONThe Department of Electrical and Computer Engineering (ECE) at the University of Puerto Ricoat Mayaguez offers five-year B. S. degrees in electrical and computer engineering. In addition,M.S. and M.E. degrees are offered in both programs. The Electrical Engineering program has astrong core from which the students receive a broad spectrum of the fundamental
design fromsome engineers who practiced in the 1700’s. Two of these engineers (artists, patriots, etc.),Charles Willson Peale and Thomas Paine, were bridge designers, and another, JohannChristopher Christensen designed and supervised construction of America’s first poweredwaterworks. Engineering student teams at Bucknell have studied these early designs and usedthem as a basis for senior design projects. Based upon their evaluation of the historic designs, theteams produced their own designs of replicas of the early works, and then they built and testedthem. Because of the relative simplicity of the 18th Century designs, students applied engineeringprinciples to them and saw new meaning in the fundamental concepts that they employed. Theyalso
Copyright © 2001, American Society for Engineering EducationSurveys of students are used for assessment purposes. A secure website developed by theArizona State University College of Engineering and Applied Sciences as part of the ABETEC2000 efforts is being used for this purpose (see Fig. 1). The website allows the instructor tocraft various forms of questions (single and multiple button, and text response) which can beaccessed by the students using an identification number and password. The website has theability to automatically send an e-mail notification to the students reminding them to completethe survey(s). Instructors can download the anonymous assessment data to analyze. Figure 1. Student survey of fuzzy logic module for web
Proceedings of the 2001 American Society for Engineering Education Annual Conference & Exposition Copyright 2001, American Society for Engineering EducationVisuals also include brightly colored graphics to enhance the visualization of vector componentsof two-dimensional vectors. Normal and tangential vector components that are color coordinatedcan help the learning experience of determining the resultant of several vectors. Qx Qy Sy S
Shannoninformation theory model as depicted by Vardaman and Halterman(6). Figure I shows the keyelements of an effective communication system vis-à-vis: a common field of experience orconvergent fields of experience of the communicators (A), initiation of communication thatinvolves thinking out of the idea(s) or core purpose of communication (B), encoding andpackaging of thought out idea(s) for meaningfulness, understanding and ease of delivery (C), thesignal (D), decoding or analysis and interpretation of the signal (E), and reception, understandingand implementation of the idea(s) and goal(s) embodied in the message. Invariably, acommunication system is as good as its weakest link. Hence, for meaningfulness, understandingand usage of information, the
emphasizethe functional aspects of assembly language programming. In part because they do not emphasizecomputer architecture, the courses do not discuss techniques for analyzing the performance ofprograms, nor do they describe methods for optimizing the size or power consumption of pro-grams.Computer architecture courses have evolved quite a lot since the 1970’s. Early computer architec-ture courses spent a great deal of time on advanced logic design. Since the advent of RISC archi-tectures and the introduction of the Hennessy/Patterson book, these courses have moved awayfrom logic gates and have concentrated on the CPU pipeline and the memory system. Thesecourses build upon students’ familiarity with instruction sets to consider the CPU microarchitec
from 0 to around 5443deg/s (95rad/s). Figure 8 demonstrates that thesteady state (although there are small fluctuations around 95rad/s crank velocity) is reachedaround the 7th or 8th cycle, after which the ’Time Vs. Cycles’ graph achieve a more constantslope. Figure 9 shows the motor torque against the number of cycles of crank motion. Asexpected the torque value is 95Nm at time t= 0 and gradually diminishes to small oscillationaround zero as the mechanism settles down to a steady motion pattern after the 7th or 8th cycle.WORKING MODELWORKING MODEL 2-D was also used to simulate the motion of the crank slider mechanism.The crank was modeled as a circle with the motor at the center of mass. The connecting rod wasmodeled as a thin rectangular
a flip-flop if it doesn’t matter whether toapply logical 1 or 0 to that input to see the flip-flop going through this transition. Atransition is defined as zero transition for specific data input of a flip-flop if it isnecessary to apply logical 0 to that input to see the flip-flop going through thistransition. For example, for an RS flip-flop to go through α transition, 0 to 1, it isnecessary to apply logical 1 to the S input and logical 0 to the R input. Therefore, αtransition is considered to be essential transition for the S input and zero transition forthe R input. Page 5.250.4To explain how to use this method to design synchronous
motivational speaker(s). Participants aredivided into three groups by assignment of a code. Each group of freshmen rotates through eachof the three workshops. Table 1 Fast Track to Achievement Schedule Introduction to Orientation Introduction to Orientation ORIE 104:001 ORIE 104:002 10:00 – 10:10 Opening Session Schaefer Lecture Hall Planning to Graduate S202 (#1) 10:15-10:40 Mastering Mathematics S203 (#2) Making It In Engineering S204
Managementdepartment here at Kansas State University have been purposely integrating group projects intoTimber Structures, Steel Theory/Design, Concrete Theory/Design, Masonry Structures, and SteelConstruction classes over the last two years. The types of projects used in these classes have includedanalysis, design, evaluation and research. Each project was developed with learning objectives andenhancement of the student s experience in the class in mind. The projects presented in this paper arefrom the structural classes taught by the author, Professor Charles Bissey and Professor CraigBaltimore. Page 5.324.1Analysis projects are used to help students
Page 3.335.4shown in Table 2. Table 2 Database Example Standard Max Count of Deviation Questions Experience Level Average Max Min minus Median Mode #1's #2's #3's #4's #5's #6's Responses
Americans, they are to work in the U. S. only! The characteristics sought by several firmsinterviewed in the study included: ■ Domain knowledge... the knowledge in a specific area; US graduates are strong in this area, ■ Cognitive, social and personal skills...such as flexibility and adaptability, openness to new ideas; US graduates fare poorly here, as there is little focus during their education on these areas. ■ Prior work experience and on-job experience (OJT).. this varies among institutions. Many inter- national institutions incorporate work experience into their curricula. ■ Cross-cultural competence. ..this is lacking in many US graduates, even those who have partici
cases with courses takenconcurrently.A schematic representation of the Design Spine and its relations to other components of thecurriculum appears in Figure 1. Within each box representing a design course is shown, initalics, the engineering science course(s) with which the design course is integrated. At thecenter are shown the key competencies that are developed throughout the design sequence.The Spine consists of five core design courses (Semesters 1 through 5). The first four designcourses are structured such that students are exposed in some way during their first two years todesign issues associated with each of the main engineering disciplines.There are three disciplinary design courses (Semesters 6-8) that are integrated with the
upcomingstudents. This increase is being driven in part by the recognition of the economic value of acollege education at any level, associate, bachelor or graduate. There are also increasing numbersof non-traditional learners coming back to school or going to school for the first time in order toupgrade their skills or to obtain a degree (or another degree). For example, the number of highschool graduates is expected to increase 30% from 1992 to 2008. 5 It is further anticipated thatbecause of the economic factors associated with a college degree, high school graduates rate ofattending will likely increase. Higher education s ability to handle this huge influx of studentsgiven the continued paucity of resources calls into question our reliance on
as manager of all of the design teams formed in BE-103. The GroupManger is responsible to the Division Engineering Manager. The function of the GroupManager is to call meeting(s) of the Project Managers to insure that all design teams are makingprogress towards their design goals. Further, Group Managers are required to meet with theVice President of Engineering and the Chief engineer every two weeks during the each academicquarter The Project Manager (PM) is an engineering member of a design team who assumes theresponsibility for organizing, coordinating and planning the activities of the design team. TheProject Manager is required to attend meeting(s) called by the Group Manager. The Associate Project Manager (APM) is an
than the preferences of other types.The eight MBTI preferences are well described in the literature, especially by McCaulley3, andthe following are simply brief descriptions of these preferences. Some people are oriented to abreadth of knowledge approach with quick action; others are oriented towards thoughtful anddeep reflection of concepts and ideas. Jung calls these orientations extraversion(E) andintroversion(I). Some people are attuned to the practical, hands-on, common-sense view ofevents whereas others are more attuned to implications, possibilities and meanings of events.These styles of perceiving are known as sensing (S) and intuition (N). Some people typicallydraw conclusions or make judgements objectively, dispassionately and
= (3a) (r2 r1 ) (1 v ) ¬k 21 k 22 »¼ 2 2 «where r r k11 (1 v )(r22 r12 ) 2(1 v )(r22 r1r2 ) r22 ln 2 k12 k 21 r1r2 ln 2 (3b) r1 r1 r k 22 (1 v )(r22 r12 ) 2(1 v )(r12 r1r2 ) r12 ln 2 r12.4 Numerical Integration of KE for the Washer ElementFor expression (2) to be integrated numerically using Gauss quadrature, the integral is written interms of the natural coordinate, s, rather than the axisymmetric coordinate r, using
Session 2202 The New Aerospace Engineering Curriculum at The Ohio State University H. Öz and M. R. Foster Aerospace Engineering Program Department of Aerospace Engineering, Applied Mechanics and Aviation The Ohio State UniversityI. Introduction and BackgroundOur discipline has changed a great deal since the boom years of aeronautical and astronauticalengineering in the 1950’s and 1960’s; apart from obvious changes due to altered geopolitics,there have also been changes in the way engineers do their jobs in the workplace. Perhaps moreimportant to educators, there
Education: A review of the contribution of the disciplines of science,technology, engineering and mathematics,” Science Education International, vol. 27, no. 4, p. 40, 2016.[9] C. K. Y. Chan, N. C. J. Yeung, P. Kutnick, and R. Y.-Y. Chan, “Students’ perceptions of engineers:dimensionality and influences on career aspiration in engineering,” Int J Technol Des Educ, vol. 29, no. 3,pp. 421–439, May 2019, doi: 10.1007/s10798-018-09492-3.[10] S. J. Gibbons, L. S. Hirsch, H. Kimmel, R. Rockland, and J. Bloom, “Middle school students’attitudes to and knowledge about engineering,” 2004.[11] R. Hammack, T. A. Ivey, J. Utley, and K. A. High, “Effect of an Engineering Camp on Students’Perceptions of Engineering and Technology,” Journal of Pre
better overall participation in the course. Wehope to observe an impact on DFW rate and to reduce differential success.References [1] ASEE, SEFI Joint Statement on Diversity, Equity and Inclusion https://diversity.asee.org/wp-content/uploads/2020/05/ASEE-SEFI_DEIStatement.pdf . [2] National Academies of Sciences, Engineering, and Medicine. (2023). Advancing antiracism, diversity, equity, and inclusion in STEMM organizations: Beyond broadening participation. [3] Wilson, J., Towsend, T., Hargraves, R. H., Butler, S., & Allison, K. (2022). Anti- Racism, Equity, and Inclusion at Urban Institutions: An Introduction to the Special Topic Issue. Metropolitan Universities, 33(2), i-xiii. [4] Blonder, B., Bowles
data drives decision-making.The datasets used in this paper were not altered or transformed to fit the multiple linearregression model better. However, the insignificant features can become significant if a largerdataset is used, the number of features is increased or decreased, data transformation isperformed, and an AI model other than linear regression is used. However, to be aware of abalanced approach in courses that utilize AI algorithms is recommended.References[1] Kumar, V., & Minz, S. (2014). Feature selection: a literature review. SmartCR, 4(3), 211-229.[2] Li, J., Cheng, K., Wang, S., Morstatter, F., Trevino, R. P., Tang, J., & Liu, H. (2017). Featureselection: A data perspective. ACM computing surveys (CSUR), 50(6), 1-45.[3
+C2 t2+D3 t3 [deg] (1)Therefore, the angular velocity is, Equation 2: θ̇(𝑡)= B1 +2 C2 t+3 D3 t2 [deg/s] (2)The polynomial generates joint’s control variables between initial time t0 and final time tf.The initial and final values for position θ(t) and velocity θ̇(𝑡) are, Equation 3:θ(t0)= θ0 ; θ̇(t0) = 𝜔0; θ(tf ) = θf ; θ̇(tf) = 𝜔f (3)In biomedical area for rehabilitation applications, the initial and final angular velocities are zerosince a smooth motion is desired for patient’s elbow.θ0 = 0 deg ; 𝜔0 = 0 deg/s; θf= 90 deg; 𝜔f = 0 deg/s
teachers developed curricular modules based on their research in collaboration with aneducation faculty member of the university. The curricular modules developed during thesummer program are currently being implemented in the classroom. Follow up activities,including school visits to observe the implementation of course modules, students’ response,findings and reflection on curricular module implementation are planned with specific timeline,and will be discussed in the conference presentation.AcknowledgementThis material is based upon work supported by the National Science Foundation under AwardNo. 2206864. Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the author(s) and do not necessarily
MKT and SRA underlines thenuanced nature of adaptive learning and faulty adaptive learning, providing valuable insightsfor educators, learners, and researchers seeking to enhance the application of metacognitiveapproaches in educational contexts. Moreover, this underscores the significance ofdeveloping both MKT and SRA for a general and vigorous approach to adopting effectivelearning approaches and academic success.AcknowledgmentThis material is based upon work supported by the National Science Foundation under GrantNo. 2110769. Any opinions, findings, conclusions, or recommendations expressed in thismaterial are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation.References[1]. P. R. Pintrich
develop more formal mathematics and scientificskills – a true landscape of practice.Figure 1: Traditional Engineering Pathway Figure 2: Professionally Aligned University PathwayAcknowledgementsThe first author gratefully acknowledges the Tufts Neubauer Scholars program for social,intellectual, and financial support of this study.References[1] S. Haviland and S. Robbins, “Career and Technical Education as a Conduit for Skilled Technical Careers: A Targeted Research Review and Framework for Future Research,” ETS Research Report Series, vol. 2021, no. 1, pp. 1–42, Dec. 2021, doi: 10.1002/ets2.12318.[2] M. Silverberg, E. Warner, M. Fong, and D. Goodwing, “National Assessment of Vocational Education: Final Report to
Paper ID #44392An Ecological Engineering (EcoE) Body of Knowledge to Support UndergraduateEcoE EducationDr. Trisha Moore, Kansas State UniversityDr. James Randall EtheridgeGlenn Thomas DaleSara Winnike McMillan, Iowa State University of Science and TechnologyDr. Niroj Aryal Dr. Niroj Aryal is an associate professor of Biological Engineering at the Department of Natural Resources and Environmental Design at the North Carolina A&T State University. His academic background includes a bachelorˆa C™s in Agricultural EngineeringDavid AustinTheresa Thompson, Virginia Polytechnic Institute and State University